Code-first scrapers and RPAs — built and maintained by AI
Hey Everyone,
I'm Faisal, co-founder of Intuned. We're a code-first browser automation platform with an AI agent that builds and maintains your automations: scrapers, RPAs, crawlers, and anything else that needs to control a browser at scale.
The problem
Browser automations run a surprising amount of the internet's back office: price monitoring, job aggregators, data migrations, every RPA that exists because a vendor won't ship an API. And they're miserable to own. The scripts are fragile, selectors break constantly, and when a site changes, someone's day is gone.
That's before the infrastructure: stealth, proxies, CAPTCHAs, authentication, scheduling, retries, observability. Building one automation is annoying. Running a hundred in production is a full-time team.
Recent AI browsers and LLM-driven agents handle one-off tasks well, but for repetitive tasks that run regularly, you need the speed, predictability, and cost profile that only code gives you. Nobody wants to write that code. And nobody wants to maintain it.
How Intuned works
Two parts, designed to work together.
The platform. Write automations in TypeScript or Python, organize them into Projects, deploy to Intuned. Run them on demand via API or on a schedule. We handle stealth, CAPTCHA solving, proxies, AuthSessions for login flows, batched Jobs with retries and concurrency, and full observability (logs, browser traces, session recordings).
Intuned Agent. Describe what you want. The agent explores the site, proposes a schema, writes the code, validates it against the live site, and delivers a production-ready Project you can review and deploy. It also edits existing projects and diagnoses failed runs by pulling real traces and logs, the same signals a human engineer would use. Learn more about it in our docs.
Self-healing projects. Flip a switch and the project becomes autonomous. When a site changes and a run fails, Intuned detects it, the agent diagnoses and fixes it, and the project redeploys. You configure how much autonomy it gets. learn more about it in our docs.
More demos: Build a scraper - Build an RPA - Fix with AI - self-healing projects
Use cases
- Scrapers — pricing, job listings, public records, news, product catalogs. Anything structured you need on a schedule.
- RPA — form submissions, data entry, report downloads, account actions. Essential when the service you need to integrate with doesn't have an API.
- Migrations — moving data between services that don't talk to each other
- Crawlers — multi-page discovery, sitemaps, content indexing at scale
How we got here
We've been in browser automation for over two years. We launched Intuned as a developer platform, but the #1 ask from customers was for us to just build and maintain the automations for them. We ended up running a services motion alongside the product, and over the past year we've processed 40M automation runs (20M minutes) for a limited set of customers. It became one of the most loved parts of working with us, and also the thing we most wanted to replace with product.
We spent the last year trying, and nothing we built was good enough.
Then we integrated the Claude Agent SDK (Claude code wrapped as SDK) directly into Intuned. Combined with the platform we'd already built, the agent now does what a human engineer on our team used to do: build projects, validate against the live site, read failed run traces, and ship fixes.
Our ask
- Checkout our docs here.
- Try it free: app.intuned.io
- Have a use case you want to talk through? Book a demo or email support@intunedhq.com
- Share it with anyone you think will be interested.
Thanks for reading 🙏
Faisal & the Intuned team
